Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. An l2-stable feedback structure for nonlinear adaptive filtering and identification
 
Loading...
Thumbnail Image
research article

An l2-stable feedback structure for nonlinear adaptive filtering and identification

Sayed, Ali H.  
•
Rupp, Markus
1997
Automatica

This paper proposes a feedback structure for the design of l2-stable algorithms for nonlinear adaptive filtering and identification, and establishes explicit connections between classical schemes in IIR modeling and more recent results in H∞ theory. In particular, two algorithms due to Feintuch and to Landau, as well as the so-called pseudo-linear regression and Gauss-Newton algorithms, are discussed within the framework proposed here. Additional examples and simulation results are included to illustrate the applicability of the approach to several nonlinear scenarios.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

aut_jan_1997.pdf

Type

Postprint

Access type

openaccess

Size

332.83 KB

Format

Adobe PDF

Checksum (MD5)

f3aea86197985b9888053bd2a36be55b

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés